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Journal of Electrocardiology
Volume 42, Issue 6
, Pages
517-521
, November 2009
Development of a toolbox for electrocardiogram-based interpretation of atrial fibrillation
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Picture of the AF-Toolbox. The calculating part of the AF-Toolbox is programmed in C (DLL, or dynamic link library); for research and development phase, Matlab was used as GUI (graphic user interface)
Picture of the AF-Toolbox. The calculating part of the AF-Toolbox is programmed in C (DLL, or dynamic link library); for research and development phase, Matlab was used as GUI (graphic user interface) and will be replaced by the ECG machine's corresponding GUI. This is a typical AF case.
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A, A clinical 10-second ECG signal on V2, where P waves were removed. B, ECG signal obtained by the addition of ventricle activity (VA) ECG signal (A) and AA signal (C). C, Original 10-second ECG simuA, A clinical 10-second ECG signal on V2, where P waves were removed. B, ECG signal obtained by the addition of ventricle activity (VA) ECG signal (A) and AA signal (C). C, Original 10-second ECG simulated AA on V2. D, Estimated AA with the AF-Toolbox after applying the same high-pass filter. E, Original AA of amplified 4 times (C). F, Estimated AA of amplified 4 times (D); NMSE of 0.21 during the QRS complexes and of 0.17 during the JQ intervals.
PII: S0022-0736(09)00278-7
doi: 10.1016/j.jelectrocard.2009.07.006
© 2009 Elsevier Inc. All rights reserved.
« Previous
Next »
Journal of Electrocardiology
Volume 42, Issue 6
, Pages
517-521
, November 2009
